OPTIMIZATION OF SOME NOISY NONLINEAR SYSTEMS

Abstract

The presence of noisy nonlinearities in the transmission of signals in a system whose function is either signal recovery (estimation) or signal detection is considered. The system is composed of a nonlinear operator followed inseparably by an additive stochastic noise source and interspersed between two linear timeinvariant filters. For the estimation function, two types of signal are considered: a sinusoidal signal of random phase; and a more general stochastic signal of second-order stationarity. For the sinusoidal case, it is shown that infinite prefilter gain is optimum for v-th-law and error function type devices, while for the stochastic case, specification of the optimum postfilter is derived with the same result for prefilter gain. For the detection function, a narrowband signal of known form is assumed. The postfilter gain is determined by matched-filter theory, and it is shown that prefilter gain should be infinite, though the conditions are relatively restrictive for the results. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1961
Accession Number
AD0265554

Entities

People

  • Robert O. Harger

Organizations

  • University of Michigan

Tags

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Detection
  • Filters
  • Matched Filters
  • Narrowband
  • Nonlinear Systems
  • Optimization
  • Recovery
  • Signal Detection
  • Specifications

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.